Spaces:
Sleeping
Sleeping
File size: 2,648 Bytes
23d4b26 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
""" from https://github.com/keithito/tacotron """
from text import cleaners
from text.symbols import symbols
# Mappings from symbol to numeric ID and vice versa:
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
def text_to_sequence(text, symbols, cleaner_names):
'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
Args:
text: string to convert to a sequence
cleaner_names: names of the cleaner functions to run the text through
Returns:
List of integers corresponding to the symbols in the text
'''
sequence = []
symbol_to_id = {s: i for i, s in enumerate(symbols)}
clean_text = _clean_text(text, cleaner_names)
print(clean_text)
print(f" length:{len(clean_text)}")
for symbol in clean_text:
if symbol not in symbol_to_id.keys():
continue
symbol_id = symbol_to_id[symbol]
sequence += [symbol_id]
print(f" length:{len(sequence)}")
return sequence
def cleaned_text_to_sequence(cleaned_text, symbols):
'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
Args:
text: string to convert to a sequence
Returns:
List of integers corresponding to the symbols in the text
'''
symbol_to_id = {s: i for i, s in enumerate(symbols)}
sequence = [symbol_to_id[symbol] for symbol in cleaned_text if symbol in symbol_to_id.keys()]
return sequence
from text.symbols import language_tone_start_map
def cleaned_text_to_sequence_vits2(cleaned_text, tones, language, symbols, languages):
"""Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
Args:
text: string to convert to a sequence
Returns:
List of integers corresponding to the symbols in the text
"""
symbol_to_id = {s: i for i, s in enumerate(symbols)}
language_id_map = {s: i for i, s in enumerate(languages)}
phones = [symbol_to_id[symbol] for symbol in cleaned_text]
tone_start = language_tone_start_map[language]
tones = [i + tone_start for i in tones]
lang_id = language_id_map[language]
lang_ids = [lang_id for i in phones]
return phones, tones, lang_ids
def sequence_to_text(sequence):
'''Converts a sequence of IDs back to a string'''
result = ''
for symbol_id in sequence:
s = _id_to_symbol[symbol_id]
result += s
return result
def _clean_text(text, cleaner_names):
for name in cleaner_names:
cleaner = getattr(cleaners, name)
if not cleaner:
raise Exception('Unknown cleaner: %s' % name)
text = cleaner(text)
return text
|